2013
DOI: 10.1016/j.epsr.2012.12.007
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Intelligent system for automatic reconfiguration of distribution network in real time

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Cited by 58 publications
(31 citation statements)
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“…However, ODS outperforms DS and DE in terms of simulation time. Table 9 shows that, for the multi-objective formulation, the average value of objective function obtained by ODS algorithm is close to the minimum value to a greater extent as compared to the average and 3,5,6,7,8,10,11,12,13,16,19,20,21,22,23,26,28,31 ,32 1041400 8069900 DS 0 -0 6999200 3, 6, 7, 11, 14, 15, 16, 20, 22, 23, 24, 27, 28, 29, 32 822162 7821362 ODS 0 -0 6768300 2,3 ,4,5,9, 12, 13, 15, 17, 20, 21, 23, 24, 25, 27, 28, 29, 31, 32 1041400 7809700 minimum values of DS algorithm and DE. This proves ODS to be better in terms of robustness.…”
Section: Description Of the Test Systemmentioning
confidence: 88%
“…However, ODS outperforms DS and DE in terms of simulation time. Table 9 shows that, for the multi-objective formulation, the average value of objective function obtained by ODS algorithm is close to the minimum value to a greater extent as compared to the average and 3,5,6,7,8,10,11,12,13,16,19,20,21,22,23,26,28,31 ,32 1041400 8069900 DS 0 -0 6999200 3, 6, 7, 11, 14, 15, 16, 20, 22, 23, 24, 27, 28, 29, 32 822162 7821362 ODS 0 -0 6768300 2,3 ,4,5,9, 12, 13, 15, 17, 20, 21, 23, 24, 25, 27, 28, 29, 31, 32 1041400 7809700 minimum values of DS algorithm and DE. This proves ODS to be better in terms of robustness.…”
Section: Description Of the Test Systemmentioning
confidence: 88%
“…• assessment of switching actions by DSO at (operational) planning stage [9], [38], ending up with a practical limited set of potential switching pairs to be checked on-line as voltage constraints occur. Such a procedure would greatly simplify our optimization models allowing problem decomposition, further enabling parallel processing, and focusing on discrete variables for which continuous relaxation works acceptably.…”
Section: Discussionmentioning
confidence: 99%
“…A salient feature of this optimization model is that all constraints are linear except the following quadratic constraints (35), (36), (37), (38), and (43), the original MINLP problem being transformed into a simpler equivalent MIQC.…”
Section: Remarksmentioning
confidence: 99%
“…This leads to potential benefits, such as power quality, network reliability, line congestion relief, overall loss and generation cost reduction, and greater penetration of intermittent sources. As the smart grid concept is employed in the electric power system, network load flow and topology change intensively to meet the best generation-demand balancing point [4][5][6]. These changes must account for protection devices to enhance their performance.…”
Section: Introductionmentioning
confidence: 99%